Kwok M Ho1, Stephen Honeybul2, Ravi Ambati3. 1. Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia; School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia; School of Veterinary and Life Sciences, Murdoch University, Perth, Western Australia, Australia. Electronic address: kwok.ho@health.wa.gov.au. 2. Department of Neurosurgery, Royal Perth Hospital, Perth, Western Australia, Australia. 3. Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia.
Abstract
BACKGROUND: Diffuse axonal injury (DAI) detected on magnetic resonance imaging (MRI) may be useful to predict outcome after traumatic brain injury (TBI). METHODS: This study compared the ability of the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic model with DAI on MRI to predict the 18-month neurologic outcome in 56 patients who had required decompressive craniectomy after TBI. RESULTS: Of the 56 patients included in the study (19 scans occurred within 14 days; median time for all patients 24 days, interquartile range 14-42), 18 (32%) had evidence of DAI on the MRI scans. The presence of DAI on the MRI diffusion-weighted (DW) T2*-weighted gradient echo and susceptibility-weighted (SWI) sequences was associated with an increased risk of unfavorable outcome at 18 months compared with patients without DAI (44% vs. 17%, difference = 27%, 95% confidence interval 2.4-46.7%; P = 0.032), particularly when the brainstem was involved. However, neither the grading (I to IV) nor the number of brain regions with DAI was as good as the IMPACT model in discriminating between patients with unfavorable and favorable outcomes (area under the receiver operating characteristic curve: 0.625 and 0.621 vs. 0.918, respectively; P < 0.001 for both comparisons). After adjustment for the IMPACT prognostic risks, DAI in different brain regions and the grading of DAI were also not independently associated with unfavorable outcome. CONCLUSIONS: The prognostic significance of DAI on MRI may, in part, be captured by the IMPACT prognostic model. More research is needed before MRI should be routinely used to prognosticate the outcomes in patients with TBI requiring decompressive craniectomy. Crown
BACKGROUND: Diffuse axonal injury (DAI) detected on magnetic resonance imaging (MRI) may be useful to predict outcome after traumatic brain injury (TBI). METHODS: This study compared the ability of the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) prognostic model with DAI on MRI to predict the 18-month neurologic outcome in 56 patients who had required decompressive craniectomy after TBI. RESULTS: Of the 56 patients included in the study (19 scans occurred within 14 days; median time for all patients 24 days, interquartile range 14-42), 18 (32%) had evidence of DAI on the MRI scans. The presence of DAI on the MRI diffusion-weighted (DW) T2*-weighted gradient echo and susceptibility-weighted (SWI) sequences was associated with an increased risk of unfavorable outcome at 18 months compared with patients without DAI (44% vs. 17%, difference = 27%, 95% confidence interval 2.4-46.7%; P = 0.032), particularly when the brainstem was involved. However, neither the grading (I to IV) nor the number of brain regions with DAI was as good as the IMPACT model in discriminating between patients with unfavorable and favorable outcomes (area under the receiver operating characteristic curve: 0.625 and 0.621 vs. 0.918, respectively; P < 0.001 for both comparisons). After adjustment for the IMPACT prognostic risks, DAI in different brain regions and the grading of DAI were also not independently associated with unfavorable outcome. CONCLUSIONS: The prognostic significance of DAI on MRI may, in part, be captured by the IMPACT prognostic model. More research is needed before MRI should be routinely used to prognosticate the outcomes in patients with TBI requiring decompressive craniectomy. Crown
Authors: Anna M Janas; FeiFei Qin; Scott Hamilton; Bin Jiang; Nicole Baier; Max Wintermark; Zachary Threlkeld; Sarah Lee Journal: Neurocrit Care Date: 2021-08-30 Impact factor: 3.532
Authors: Jonathan Tjerkaski; Harriet Nyström; Rahul Raj; Caroline Lindblad; Bo-Michael Bellander; David W Nelson; Eric P Thelin Journal: J Neurotrauma Date: 2022-01 Impact factor: 5.269